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INDONESIA
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Published by Polilteknik Kesehatan Kemenkes Surabaya
ISSN : -     EISSN : 26568624     DOI : https://doi.org/10.35882/ijeeemi
Core Subject : Health, Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Health Professions Materials Science & Nanotechnology
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics (IJEEEMI) publishes peer-reviewed, original research and review articles in an open-access format. Accepted articles span the full extent of the Electronics, Biomedical, and Medical Informatics. IJEEEMI seeks to be the world’s premier open-access outlet for academic research. As such, unlike traditional journals, IJEEEMI does not limit content due to page budgets or thematic significance. Rather, IJEEEMI evaluates the scientific and research methods of each article for validity and accepts articles solely on the basis of the research. Likewise, by not restricting papers to a narrow discipline, IJEEEMI facilitates the discovery of the connections between papers, whether within or between disciplines. The scope of the IJEEEMI, covers: Electronics: Intelligent Systems, Neural Networks, Machine Learning, Fuzzy Systems, Digital Signal Processing, Image Processing, Electromedical: Biomedical Signal Processing and Control, Artificial intelligence in biomedical imaging, Machine learning and Pattern Recognition in a biomedical signal, Medical Diagnostic Instrumentation, Laboratorium Instrumentation, Medical Calibrator Design. Medical Informatics: Intelligent Biomedical Informatics, Computer-aided medical decision support systems using heuristic, Educational computer-based programs pertaining to medical informatics
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 5 Documents
 1 
Search results for , issue "Vol. 4 No. 3 (2022): August" : 5 Documents clear
Analysis of the Capture Output on Flat Panel Detector using Arduino-Based BPW34 Photodiode Sensor with mA and kV Setting Parameters Amin, M. R.; Wahyudi, M. F.; Mak’ruf, M. R.; Indrato, T. B.; Pudji, A.; Palanisamy, S.
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 3 (2022): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i3.148

Abstract

The exposure factor is the factor that determines the intensity and quality of X-rays received by the patient. Exposure factors that can be controlled are tube voltage (kV), tube current (mA), irradiation time (second), and distance of the X-ray tube to the film (FFD). The purpose of this study was to capture X-rays at a relatively affordable manufacturing price and to obtain different value from the detector's capture between dark and light by utilizing the response of the BPW34 photodiode sensor. The contribution of this study is that the system can display grayscale and numerical on an 8x8 pixel matrix using the Matrix Laboratory (MATLAB) Application. This study was able to convert images taken from analog data after taking measurements on X-rays. The measurements were carried out by 2 methods, the range used was 32-63 mA with a tube voltage of 50 kV at an irradiation duration of 1 second and 50 - 70 kV with a tube current of 40 mA and an irradiation duration of 1 second. Based on the measurement results, the comparison between the Flat Panel Detector Design Tool and the Philips brand Digital Radiography obtained that the latter was able to respond to differences in dose and object thickness. The results of this study indicated that this tool could be used to capture X-rays so that the degree of blackness of the film were obtained
Effect of Muscle Fatigue on Heart Signal on Physical Activity with Electromyogram and Electrocardiogram Monitoring Signals Fauzi, Muhammad; Yulianto, Endro; Irianto, Bambang Guruh; Luthfiyah, Sari; Triwiyanto, Triwiyanto; Shankhwar, Vishwajeet; Elbaghazaoui, Bahaa Eddine
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 3 (2022): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i3.149

Abstract

Physical activity is an activity of body movement by utilizing skeletal muscles that are carried out daily. One form of physical activity is exercise which aims to improve health and fitness. Parameters related to health and wellness are heart and muscle activity. Strong and prolonged muscle contractions result in muscle fatigue. The authors used electromyographic (EMG) signals to measure muscle fatigue by monitoring changes in electrical muscle activity. This study aims to analyze the effect of muscle fatigue on cardiac signals during subjects perform physical activity. This research method uses Fast Fourier Transform (FFT) with one group pre-test-post-test research design. The independent variable is the EMG signal when doing plank activities, while the dependent variable is the result of monitoring the EMG signal. The authors use MPF, MDF, and MNF to get more detailed measurement results and perform a T-test. The test results showed a significant value (p-value <0.05) in the pre-test and post-test. The Pearson correlation test got a value of 0.628, indicating a strong relationship between exercise frequency and plank duration. When the respondent experiences muscle fatigue, the heart signal is affected by noise movement artifacts that appear when doing the plank. It is concluded that the device in this study can be used properly. To overcome noise in the EMG signal, it is recommended to use dry electrodes and high-quality components. To improve the ability to transmit data, it is recommended to use a Raspberry microcontroller.
Utilization of High-Power LEDs at Low-Cost Non-Invasive X-ray KV Meter Detectors Design I, M. Bagus F.; P, Moch Prastawa A T; Setiawan, S Y; Lamidi, Lamidi; Hariwisana, I D G; Indrato, T B; Asghari, Mansour
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 3 (2022): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i3.150

Abstract

X-ray radiation is used to diagnose human body. In order to apply this method, two parameters are commonly used as the settings. The first is the KV value and the second is the mA value. In this case, when an error occurs in the kV setting, it will cause poor image quality, thus leads to inaccurate information in patient’s examination. It is likewise the presence of excessive doses to the patient's body. To ensure that the KV value produced is under the settings on the machine consul, both invasive and non-invasive measurements were carried out. Non-invasive is becoming an easy standard to do. Several types of equipment on the market and research results have been widely used for this non-invasive activity. The problem emerges is that the existing tools still use expensive detectors. The purpose of this study was to design a low-cost non-invasive x-ray KV meter detector using an LED detector whose ability was tested at each point of collimation. Furthermore, the method used in this study was to stump the detectors at 4 ends of the collimation by 20 cm apart. The data were taken by doing x-ray exposure at a distance of 60 cm. The module measurements were carried out under 80 mA exposure conditions for 1 second and a collimation area of ​​20 x 20 cm. Meanwhile, the x-ray exposure settings were performed at 40kV, 50kV, 60kV, and 70kV settings. The module measurement results were further compared to the x-ray machine setting values. Based on the comparison results, the smallest error rate was obtained on Sensor 2 by 0.83%, while the highest error rate was obtained on S5 by 6.43%. The results can be concluded that the LED phosphor can capture x-rays, but the detector was weak due to the interference from ambient light.
Zeta Converter as a Voltage Stabilizer with Fuzzy Logic Controller Method in The Pico Hydro Power Plant Eviningsih, Rachma Prilian; Nugraha, Anggara Trisna; Fatqurrochman, Muhammad Ilham
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 3 (2022): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i3.151

Abstract

The development of the use of environmentally friendly renewable energy has been widely carried out, one of which is the use of energy as a turbine driver at the Pico Hydro Power Plant. The main problem in the use of energy, especially water energy is the flow of water which can affect the flow of water used to rotate the turbine so that the voltage on the DC link cannot be kept constant. Therefore, in this paper, we design and simulate the process of charging lead acid batteries with a zeta converter and a Pico Hydro Power Plant as the main source. The use of batteries in this system as energy storage if the river flow is heavy, the charging process will be carried out and if the river flow decreases, the battery will help to supply household loads. Due to the river flow which is very dependent on natural conditions, the power generated is also fluctuating so we need a control that can produce a constant output voltage from the zeta converter which is used for the battery charging process. Therefore, the aim of using a Fuzzy Logic Controller (FLC) is to keep the output voltage of the zeta converter constant so that it can maintain battery life. The results obtained in the close loop simulation test are a constant output voltage of 14.4 V and an output current of 6.64 A so that it can be used for the battery charging process that will be used for household lighting.
Development of Low-Cost Electrospinning to Fabricate Structured Nanofiber for Biomedical Designs with Manageable Flowrate and Voltage Yusro, Muhammad; Kadarisman, Kadarisman
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 3 (2022): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i3.152

Abstract

Electrospinning is the most popular method that uses in nanofiber production. However, the budget to purchase this tool in the market is expensive. This article aims to report on how to build electrospinning on a lesser budget. There are three main components in electrospinning that will be broken down regarding how to build it. First, the syringe pump creates machinery to push the liquid in the syringe creating a Taylor cone affected by high voltage. Second, a high voltage power supply occurs electrostatic force. Third, the collector gathers nanofiber products. This machine has cost Rp 3.168.822 or $220,26. This number is less than the shop production or the previous report to create low-cost electrospinning. To make sure that this method successfully creates nanofiber. Scanning Electron Microscopy (SEM) is conducted and the result shows that the fiber size is 719±0,06 nanometers. Moreover, the flow rate and the voltage also have been assessed resulting that they are in a controllable manner by showing a linear profile. In this article, the budget is shared to declare that this electrospinning is more affordable. Hopefully, this report could help researchers who intend to build electrospinning at the lab scale to develop their research in nanofiber products with less cost.

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